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   "cell_type": "markdown",
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   },
   "source": [
    "# 安装配置环境"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.安装Neo4j"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 安装Neo4j Desktop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://neo4j.com/download/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 创建新Project：Medical_QA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 创建新DBMS：medical_neo4j"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 启动DBMS，在浏览器中访问`localhost:7474` "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.安装配置Python\n",
    "\n",
    "### 安装基础环境\n",
    "\n",
    "视频：【Windows安装配置Python】https://www.bilibili.com/video/BV1P5411W7g5?p=2\n",
    "\n",
    "视频：【MacOS安装配置Python】https://www.bilibili.com/video/BV1P5411W7g5?p=3\n",
    "\n",
    "视频：【python数据分析神器Jupyter notebook快速入门】https://www.bilibili.com/video/BV1Q4411H7fJ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 安装第三方库"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "pip install py2neo pyahocorasick numpy pandas -i https://pypi.tuna.tsinghua.edu.cn/simpl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 验证安装成功"
   ]
  }
 ],
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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